Confident AI

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Score6.9

Rank#9 of 30

From$200/mo

Free planYes

Runs onAPI, Self-hosted, Web

Summary

Confident AI is an AI quality platform for evaluating application changes during development and monitoring AI applications in production. Teams can compare prompts, models, and parameters, run automated regression evaluations in CI/CD, and use more than 50 metrics. In production, it traces executions with spans and records inputs, outputs, latency, and tokens; live alerts flag declining AI quality. Red-team testing targets safety vulnerabilities and adversarial attacks. Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations connect it to development and monitoring workflows. APIs cover prompt versioning, dataset building, trace ingestion, project provisioning, and governance policies. The platform is available through web and API, or can be self-hosted in a customer’s AWS, Azure, or GCP cloud using Docker; setup typically takes 1–2 weeks. The free plan includes two user seats, one project, five test runs per week, and 1 GB-month of trace spans. Paid plans start at $200 per month. Free-tier test-run and tracing data are retained for 14 days.

Who it is for

It suits engineers, QA teams, product managers, subject-matter experts, and annotators who need to evaluate or monitor AI applications. Self-hosting and configurable roles may also fit organizations with deployment and access-control requirements.

What is good

More than 50 evaluation metrics.
Automated CI/CD regression evaluations.
Live alerts for declining AI quality.
Self-hosted deployment is available.
Python and TypeScript SDKs are supported.

What to know first

Free tier is limited to five test runs weekly.
Free-tier data is retained for 14 days.
Paid plans start at $200 per month.
Self-hosted setup typically takes 1–2 weeks.

Verdict

Confident AI combines development evaluation, production tracing, and safety testing in one platform. Its free plan has specific usage limits, while paid plans start at $200 per month.

Confident AI plans and pricing

All plans

Free Free Forever $0 2 user seats · 1 project · 5 test runs per week · 1 GB-month of trace spans confident-ai.com · 30 Sept 2026

Starter $200/mo $200 / month Unlimited user seats · 5 projects · 5 GB-months of trace spans · $1 per additional GB-month · ~$0.05/M input tokens and $0.40/M output tokens confident-ai.com · 30 Sept 2026

Team $2,000/mo $2,000 / month Unlimited user seats · Unlimited projects · 75 GB-months of trace spans · $1 per additional GB-month · ~$0.05/M input tokens and $0.40/M output tokens confident-ai.com · 30 Sept 2026

Enterprise Not published Custom pricing Unlimited user seats · Unlimited projects · Unlimited GB-months of trace spans · Unlimited online eval metric runs/month confident-ai.com · 30 Sept 2026

Compared on AI LLM evaluation tools

Free plan: Yesconfident-ai.com
Paid from: $200/moconfident-ai.com
Prompt versioning: Yesconfident-ai.com

Facts

Product: Confident AI is an AI Quality platform that provides development evaluations and production observability for reliable AI applications.confident-ai.com · 30 Sept 2026
Evaluation: The platform supports prompt, model, and parameter experiments, automated CI/CD regression evaluations, and more than 50 metrics.confident-ai.com · 30 Sept 2026
Observability: Confident AI traces AI executions with spans and captures inputs, outputs, latency, and tokens for production monitoring.confident-ai.com · 30 Sept 2026
Alerting: The platform provides live alerting when AI quality degrades.confident-ai.com · 30 Sept 2026
Red teaming: Confident AI provides red-team testing for safety vulnerabilities and adversarial attacks.confident-ai.com · 30 Sept 2026
Users: The platform is designed for engineers, QA teams, product managers, subject-matter experts, and annotators.confident-ai.com · 30 Sept 2026
Integrations: Confident AI offers Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations.confident-ai.com · 30 Sept 2026
API: Every part of the platform is exposed through APIs for versioning prompts, building datasets, ingesting traces, provisioning projects, and assigning governance policies.confident-ai.com · 30 Sept 2026
Self-hosting: Confident AI can be deployed in a customer's AWS, Azure, or GCP cloud via Docker and typically takes 1–2 weeks to set up.confident-ai.com · 30 Sept 2026
Security: The documentation states that Confident AI is HIPAA compliant, offers SSO and customizable roles and permissions, and supports self-hosted deployment.confident-ai.com · 30 Sept 2026
Data protection: Confident AI states that data is encrypted at rest, protected by TLS in transit, and covered by SOC II and HIPAA compliance.documentation.confident-ai.com · 30 Sept 2026
Free-tier retention: The data-handling documentation states that free-tier test-run and tracing data are retained for 14 days.documentation.confident-ai.com · 30 Sept 2026
Integrations notifications: Project integrations can send evaluation-completion notifications to Slack, Discord, Teams, or email.documentation.confident-ai.com · 30 Sept 2026
Authentication: The Confident API uses API keys with organization-level and project-level authentication.confident-ai.com · 30 Sept 2026